Redshift

In the past 40 years, the data warehouse has gone through many transformations, driven by business needs and fueled by technological advancements. Data warehouses have transformed from operational reporting and ad-hoc reporting to today’s real-time, predictive analytics. But growing advanced analytics needs, and the need for reduced operational expenses, mean these legacy data warehouses are …